AI & ML

London-based company shows that while the continent is industrialising, it still has manufacturing clout

Kanishka Narayan tells FT that new prime minister views technology as way for Britain ‘to get its mojo back’

Metals boom is reliant on high-altitude, declining mines that are exposed to increasing weather volatility

Many white-collar professionals worry about the tech inhibiting creativity and making errors

Introduction Enterprise GPU design becomes confused when several different decisions are compressed into one question: “How should we share the GPU?” That question mixes hardware assignment, virtualization, Kubernetes scheduling, tenant isolation, business priority, and service-level commitments. The result is often a platform that advertises many GPU “slices” but cannot explain what each slice guarantees. A

Students helped design the A.I.-powered creation as a young female with dark hair and an upbeat personality. Then came the outrage.

Anthropic and OpenAI are clashing with the rest of the tech industry over whether “open-source” models from China should be freely available or restricted.

As start-ups like Anthropic and OpenAI prepare to go public, nonprofits are hoping for a secondary giving windfall from the new tech ultrawealthy.

Our animosity toward data centers is really more about our anxieties about A.I.

The architecture distinction is visible before the protocol details begin. A2A operates horizontally between independently operated agents. MCP operates vertically between an AI application or agent and the tools, data, prompts, and enterprise capabilities it consumes. That difference is the foundation for the entire protocol decision. Enterprise AI teams are increasingly asking whether they should